time series, python 3 notes, django, model behaviors

14 Feb 2017

• Time Series Forecast Case Study with Python: Monthly Armed Robberies in Boston
  http://machinelearningmastery.com/time-series-forecast-case-study-python-monthly-armed-robberies-boston/
• Tiny-Python-3.6-Notebook: notes, tables, and examples for Python syntax
  https://github.com/mattharrison/Tiny-Python-3.6-Notebook/blob/master/python.rst
• Easily integrate common behaviors for Django models, e.g. Timestamps, Publishing, Authoring, Editing and more.
  https://github.com/audiolion/django-behaviors#django-behaviors
• Django Model Behaviors
  http://blog.kevinastone.com/django-model-behaviors.html

backpropagation, jupyter notebook, web scraping

13 Feb 2017

• Yes you should understand backprop
  https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b#.pjfh5jolp
• body fat percentage
  https://github.com/mcleonard/blog_posts/blob/master/body_fat_percentage.ipynb
• Web Scraping Indeed for Key Data Science Job Skills
  http://nbviewer.jupyter.org/github/jmsteinw/Notebooks/blob/master/IndeedJobs.ipynb

AI, book, Self Driving Cars

10 Feb 2017

• AI, Deep Learning, and Machine Learning: A Primer (from Andreessen Horowitz)
  https://vimeo.com/170189199
• From Python to Numpy
  http://www.labri.fr/perso/nrougier/from-python-to-numpy/
• MIT 6.S094: Deep Learning for Self-Driving Cars
  https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

backpropagation, lane detection, deep learning

04 Feb 2017

• Backpropagation Explained
  https://medium.com/@jmitchell1991/backpropagation-explained-654a1a4fd3d7#.ot5c6fpgm
• Robust Extrapolation of Lines in Video Using Probabilistic Hough Transform
  https://medium.com/@esmat.anis/robust-extrapolation-of-lines-in-video-using-linear-hough-transform-edd39d642ddf#.nute2g1bt
• NanoNets: How to use Deep Learning when you have Limited Data
  https://medium.com/nanonets/nanonets-how-to-use-deep-learning-when-you-have-limited-data-f68c0b512cab#.lrcmpq1za

reinforcement learning, opensim, musculoskeletal models, challenge

04 Feb 2017

• Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks
  https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0#.n4d1u7fh6
• OpenSim is software that lets users develop models of musculoskeletal structures and create dynamic simulations of movement
  https://github.com/opensim-org/opensim-core
• Reinforcement learning environments with musculoskeletal models
  https://github.com/stanfordnmbl/osim-rl
• LEARNING HOW TO WALK
  https://www.crowdai.org/challenges/learning-how-to-walk#rules